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Vilmos Pálfi, István Kollár
Improving the result of the histogram test using a fast sine fit algorithm

To accurately characterize an ADC using the sine-wave histogram test, the input signal has to meet strict conditions: sampling has to be coherent, and the number of periods has to be relative prime to the number of samples (see IEEE standard 1241). Due to the limited precision of the sine frequency and of the sampling frequency, such conditions should be checked from the measured signal. In this paper a new method is presented which is able to check the fulfilment of the above conditions from the output signal, and if the signal fails to fulfil the conditions, the number of samples to be neglected in the measurement can be determined to improve the quality of the histogram test result.

C. S. Anoop, Boby George
Study of a Hall Effect Brake Wear Sensor using Finite Element Modelling and Analysis

Monitoring of brake wear and warning the driver to replace it at the appropriate time is a critical safety requirement. Recently, basic concept of a new, simple and low-cost Hall-Effect (HE) based angle sensor, which continuously monitors brake wear, by sensing the angle rotated by the Cam Shaft (CS) with-respect-to the Slack Adjuster (SA) in the brake assembly has been presented. The sensor has a spiral shaped moving part. It rotates along with CS, and changes the magnetic field seen by a HE sensor, whose output is directly proportional to angle between CS and SA, for a wide range. A prototype angle sensor has been developed, and test results showed a linear range of 220°, which is sufficient for monitoring brake wear. In the sensor, parameters like positioning of the HE sensor, relative permeability of the materials used, thickness of the moving part, etc. play a crucial role as far as the linearity of output and sensitivity are concerned. Sensor optimisation based on hardware implementation is time consuming, inefficient and less accurate. Hence, a finite element model of the sensor has been developed, and various studies have been conducted to optimise the parameters for best performance of the sensor. This also enables to achieve a linear output without using complex circuitry.

Mirela-Adelaida Anghel, Fanel Iacobescu, Alexandru Salceanu
Exhaled Breath Alcohol - Quality Assurance In The Field Of Legal Metrology

Breath alcohol analyzers are widely accepted as legal measurement instruments used for determination of the mass concentration of alcohol in exhaled breath. The paper focuses on the following issues: configuration of experimental system; the assurance of traceability at the highest standards; calculation of Zeta score and Trueness test - En numbers, both for simulator system and CRMs; the influence of CO2 and on the influence of the exhaled breath temperature when the human body’s temperature increases up to 38, 39 or, in extreme conditions, up to 40°C.

Wendell. E. M. Costa, Sabiniano A. Rodrigues, Raimundo C. S. Freire, Sebastian Y. Catunda, Thaís L. V. N. Silva, Malone Soares de de Castro, Fernando Rangel de Sousa
A Folding ADC Based on Switched Capacitor Circuits in 350 nm CMOS

This paper presents a 10-bit folding analog-digital converter (ADC) using switched capacitors (SC) circuits. In this architecture, the conversion is achieved when the signal crosses a certain voltage level and at this time, a voltage value is added or subtracted from the analog input signal. The proposed ADC consists in eight identical stages, to perform the conversion of one bit at a time. Each stage is built with a amplifier circuit using switched capacitor with gain 2. The ADC is designed in a standard 350 nm CMOS (Complementary Metal- Oxide-Semiconductor) technology. A conversion time of 570 ns and a SNDR of 56.8 dB were obtained by simulations with the ADC prototype, to a 10 bits resolution converter with 3.3 V power supply and a 8 mW power consumption.

César Asensio, Mariano Ruiz, Manuel Recuero
Taking advantage of machine learning and pattern recognition in acoustic measurements

Traditionally, acoustics measurement researchers and developers have focused on: a) the development of novel instruments and sensors, trying to improve their accuracy or trying to fix specific problems deriving from specific applications; b) the definition of uncertainty estimation methodologies, either in instruments and testing methods, c) the definition and customization of new measurement indexes.
In very recent years, the research lines have been changing, in an attempt to take advantage of new signal processing techniques and solve classical handicaps in acoustic measurements. This is the case, for example, of blind source separation or beamforming.
Following this trend, this paper focuses on new acoustic measurement approaches deriving from the application of machine learning and pattern recognition techniques for the development of smart instruments based on the measurement of sound pressure level.

C. Asensio, M. Ruíz, M. Recuero, G. Moschioni, M. Tarabini
Application of intelligent instruments for the monitoring of thrust reverse noise at airports

Many airports all over the world have established some kind of restrictions for the use of thrust reverse for slowing down aircraft after landings, especially during the night period, as a way of reducing noise impact and the number of complaints in the vicinity of airports. This is the case of Madrid airport, where the Universidad Politécnica de Madrid, in collaboration with AENA, and the Politecnico di Milano have been researching, and developing intelligent instruments to improve the detection and classification of thrust reverse noise among other noise sources present in the airport.
Based on a traditional approach, the thrust reverse noise detection tool (TREND) detects two consecutive sound events, and applies pattern recognition techniques for the classification of each of them (such as landing and thrust reverse). A second improvement refers to the use of a microphone array linked to a noise monitoring unit, which enables tracking the direction of arrival of the sound, thus improving the classification rates. By taking the latter, it is also possible to track the aircraft location along the runway, which enables sound pressure measurements to be transformed into sound power level estimations. Although TREND must be optimized and customized, the results have shown quite good classification rates (over 90%).

Linus Michaeli, Marek Godla, Ján Saliga, Jozef Lipták, István Kollár
The analysis of exponential signals by maximum likelihood estimation

A new method to determine the exponential components of a signal using the maximum likelihood method will be presented in this paper. The exponential stimulus signal is assumed to be distorted by superimposed exponential components with longer time constant and smaller peak value. The exponential signal to be identified is acquired by a general purpose DAQ board. The advantage of the proposed method is lower sensitivity to the additive noise and restriction of the signal processed to the full scale range of the ADC. The sensitivity of the proposed method on the measurement and processing conditions is studied theoretically and by simulation.

Jesús Martínez-Teruel, Tomás García-Sánchez, Andreu Fontova, Ramon Bragós
Electrical Impedance Spectroscopy cell monitoring in a miniaturized bioreactor

Electrical impedance spectroscopy measurement of biologic materials provides information about viable cell density as well as cell size and shape homogeneity. Several experimental and even commercial biomass density probes have been developed both for cell suspensions and monolayer cell cultures in the last twenty years. This communication describes the development of a set of electrodes and circuits designed to add viable biomass density measurement capability to a set of single-use miniaturized bioreactors. Two applications: adherent animal cultures and generic cell suspension cultures drive to the need of providing two electrode sets and two measurement systems with different frequency ranges.

George Gross, Marco Landi, Consolatina Liguori, Vincenzo Paciello
Measurement technique for online EV battery state of life monitoring

An effective management of battery electric vehicles and implementation of vehicle-to-grid programs requires being able to monitor battery parameters to assess the state of the battery. Current techniques have reached good accuracy, but usually require long measurement procedures and powerful hardware that makes them unfit for online battery monitoring. In this paper a one-shot measurement technique and the first experimental results for battery parameter estimation are presented: it is fast and can be implemented on a low-cost microcontroller to realize online battery monitoring.

Angel Moure, Pedro Torres
Low Power and High Effiency Energy Acquisition Systems for Volcano Monitoring

Two acquisition systems have been developed to acquire low sampling rate parameters (volcanic gases content and meteorological parameters) related with volcano activity. The first device (gDT316) is a 16 bits five-channel datalogger with a SD storage. The second one (gCNT16) is a simple three-channel 16 bits counter with EEPROM storage. Their main characteristics are low power consumption and low cost manufacturing. Here we describe both devices and the first three examples retrieved applying them on a volcano monitoring network (Tenerife Island, Spain).

Page 527 of 977 Results 5261 - 5270 of 9762